Individuals with strong attention-deficit/hyperactivity disorder (ADHD) symptoms, related to inefficient cognitive executive ...
Abstract: Learning over time for machine learning (ML) models is emerging as a new field, often called continual learning or lifelong Machine learning (LML). Today, deep learning and neural networks ...
Abstract: This paper presents a multi-objective optimization approach using Genetic Algorithms (GAs) to address the Airport Check-In Counter Allocation problem. A hybrid model balancing operational ...